[Time-Series] time-series patching

[elisim]

Model description

"time-series patching" refers to the process of segmentation the series into subseries-level patches which are served as input tokens to the transformer. It's really similar to what's done in ViT, but for time-series. This idea was first propsed in a recent ICLR paper:

A Time Series is Worth 64 Words: Long-term Forecasting with Transformers code: https://github.com/yuqinie98/PatchTST

@kashif @NielsRogge

Open source status

• [ ] The model implementation is available
• [ ] The model weights are available

Provide useful links for the implementation

@yuqinie98

Edit: I think that "new model" is not the best label to this issue, maybe there is a better label for this?